# get some random training images
dataiter = iter(train_loader)
images, labels = dataiter.next()
arthopod_types = {0: 'Coleoptera', 1: 'Diptera', 2: 'Hymenoptera', 3: 'Lepidoptera'}
# Viewing data examples used for training
fig, axis = plt.subplots(3, 5, figsize=(15, 10))
for i, ax in enumerate(axis.flat):
with torch.no_grad():
image, label = images[i], labels[i]
ax.imshow(img_display(image)) # add image
ax.set(title = f"{arthopod_types[label.item()]}") # add label
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